Denver, CO

Salary
$135,000–$191,000from the description
Posted
Jul 21, 2026
Location
Denver, CO
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

A hands-on network engineering role focused on the reliability, scalability, and performance of edge network infrastructure at global scale. Day-to-day work involves troubleshooting production incidents, driving root cause analysis, improving operational processes through automation and AI-assisted workflows, and participating in an on-call rotation. Suited to experienced network engineers with deep knowledge of routing and switching protocols across large, multi-vendor environments.

Senior level · 8+ years · San Francisco-Oakland-Berkeley, CA · Full-time

Must have (9)
BGPIS-ISOSPFMPLSSpanning TreeDHCPDNSIPv4IPv6
Nice to have (1)
Python

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What won't set you apart
BGP55%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $132,532 (middle half $103,068–$167,147). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

The role sits at the boundary between network operations (15-1244) and network architecture (15-1241): it involves hands-on troubleshooting, oncall rotation, and operational support of production edge/backbone infrastructure, but also design and scalability work. Operations duties dominate the day-to-day framing, so 15-1244 is the primary code, with 15-1241 as the runner-up.

Location is not explicitly stated in the posting; Meta's Edge Network Services team is headquartered in the San Francisco Bay Area (Menlo Park, CA), so the CBSA is inferred. The role involves up to 15% domestic and international travel.

The degree requirement states 'Bachelor's degree … or equivalent practical experience', which means no formal degree is hard-gated.

Python is listed under Preferred Qualifications with the qualifier 'or a willingness to learn', making it clearly optional.

Several AI-related preferred qualifications (prompt engineering, agent orchestration, responsible AI practices, AI workflow integration) are framed as preferred/nice-to-have and name no specific tool or platform, so they are omitted per the no-generic-concepts rule.

The posting duplicates several preferred qualifications verbatim (AI practices, AI skill development); these are treated as a single requirement each.

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